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Document Title Author Full Name Author Short Name Index Corresponding Address ResearcherID ResearcherID Author Name ORCID ORCID Author Name Related Email
Unsupervised domain adaptation by cross-domain consistency learning for CT body composition Jung, Soon Ki Jung, SK 5 교신저자 Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea P-7687-2018 Jung, Soon Ki shahzadali@knu.ac.kr; skjung@knu.ac.kr;
Unveiling environmental drivers of soil erosion in South Korea through SHAP-informed machine learning Van, Linh Nguyen Van, LN 1 Kyungpook Natl Univ, Sch Adv Sci & Technol Convergence, Sangju 37224, South Korea leegiha@knu.ac.kr;
Unveiling environmental drivers of soil erosion in South Korea through SHAP-informed machine learning Nguyen, Giang, V Nguyen, G 2 Kyungpook Natl Univ, Sch Adv Sci & Technol Convergence, Sangju 37224, South Korea leegiha@knu.ac.kr;
Unveiling environmental drivers of soil erosion in South Korea through SHAP-informed machine learning Yeon, Minho Yeon, M 3 Kyungpook Natl Univ, Climate Crisis Inst, Sangju 37224, South Korea leegiha@knu.ac.kr;
Unveiling environmental drivers of soil erosion in South Korea through SHAP-informed machine learning Do, May Thi-Tuyet Do, MTT 4 Kyungpook Natl Univ, Sch Adv Sci & Technol Convergence, Sangju 37224, South Korea leegiha@knu.ac.kr;
Unveiling environmental drivers of soil erosion in South Korea through SHAP-informed machine learning Lee, Giha Lee, G 5 교신저자 Kyungpook Natl Univ, Sch Adv Sci & Technol Convergence, Sangju 37224, South Korea leegiha@knu.ac.kr;
Unveiling the bending deformation behaviors of Mg alloys with tilted textures through a biaxial tension analysis approach Lee, Gyo Myeong Lee, GM 1 HD Hyundai Heavy Ind, Ulsan 44032, South Korea sh.park@knu.ac.kr;
Unveiling the bending deformation behaviors of Mg alloys with tilted textures through a biaxial tension analysis approach Kim, Hyun Ji Kim, HJ 2 Agcy Def Dev, Missile Res Inst, Daejeon 34060, South Korea sh.park@knu.ac.kr;
Unveiling the bending deformation behaviors of Mg alloys with tilted textures through a biaxial tension analysis approach Lee, Jong Un Lee, JU 3 Korea Inst Mat Sci, Extreme Mat Res Inst, Chang Won 51508, South Korea sh.park@knu.ac.kr;
Unveiling the bending deformation behaviors of Mg alloys with tilted textures through a biaxial tension analysis approach An, Gun Woong An, GW 4 Kyungpook Natl Univ, Dept Mat Sci & Met Engn, Daegu 41566, South Korea sh.park@knu.ac.kr;
Unveiling the bending deformation behaviors of Mg alloys with tilted textures through a biaxial tension analysis approach An, Gun Woong An, GW 4 Kyungpook Natl Univ, Grad Sch Mat Sci & Engn, Daegu 41566, South Korea sh.park@knu.ac.kr;
Unveiling the bending deformation behaviors of Mg alloys with tilted textures through a biaxial tension analysis approach Park, Sung Hyuk Park, SH 5 교신저자 Kyungpook Natl Univ, Dept Mat Sci & Met Engn, Daegu 41566, South Korea sh.park@knu.ac.kr;
Unveiling the bending deformation behaviors of Mg alloys with tilted textures through a biaxial tension analysis approach Park, Sung Hyuk Park, SH 5 교신저자 Kyungpook Natl Univ, Grad Sch Mat Sci & Engn, Daegu 41566, South Korea sh.park@knu.ac.kr;
Unveiling the Complexity of Designers' Intention to Use Generative AI in Corporate Product Design: A Grounded Theory and fsQCA Li, He Li, H 1 Kyungpook Natl Univ, Sch Arts, Daegu 37224, South Korea tayon13@knu.ac.kr; liuyuqing091@gmail.com; 349256@whut.edu.cn; smx0609@knu.ac.kr; 2021327350@knu.ac.kr; kimsn@knu.ac.kr;
Unveiling the Complexity of Designers' Intention to Use Generative AI in Corporate Product Design: A Grounded Theory and fsQCA Liu, Yuqing Liu, YQ 2 Kyungpook Natl Univ, Sch Arts, Daegu 37224, South Korea tayon13@knu.ac.kr; liuyuqing091@gmail.com; 349256@whut.edu.cn; smx0609@knu.ac.kr; 2021327350@knu.ac.kr; kimsn@knu.ac.kr;
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